Senior Data Engineer

Role overview

Senior Data Engineer at KLA

Responsibilities

• Design and implement robust ingestion patterns from SAP source systems (S/4HANA/ECC/BW/HANA) and other cloud source systems into Snowflake using enterprise-approved integration tools.
• Develop and optimize ELT/ETL pipelines leveraging Snowflake capabilities (e.g., Snowpipe, Streams & Tasks, Dynamic Tables where applicable).
• Create and maintain curated dimensional and/or data vault models , conformed dimensions, and reusable fact tables for cross-functional analytics.
• Implement data quality checks , reconciliation controls (source-to-target), and exception handling for SAP extracts.
• Collaborate with BI developers, analysts, and business stakeholders to translate requirements into scalable datasets.
• Contribute to Agile ceremonies and deliver iterative improvements with high engineering standards.

Required qualifications

• 5–7 years of experience in data engineering, with hands-on development in Snowflake .
• Strong experience integrating SAP data into analytics platforms or data warehouses.
• Strong SQL skills (advanced joins, window functions, query optimization); experience with performance tuning in cloud warehouses.
• Experience building production-grade pipelines using one or more of:
• Orchestration: Informatica , ADF, dbt orchestration, or similar
• Transformation: dbt , stored procedures, Snowflake SQL scripting, or equivalent
• Proficiency in Python (or comparable language) for automation, data processing, and pipeline utilities.
• Understanding of data modeling concepts (dimensional modeling, normalization, data vault basics).
• Experience with CI/CD practices (Git, code reviews, deployment pipelines) and environment management (dev/test/prod).
• Palantir Foundry experience (pipeline development, curated datasets, permissions/lineage) and Ontology experience (Objects/relationships).
• Familiarity with SAP S/4HANA data models and performance concepts (e.g., CDS views, HANA calculation views).
• Experience with BI/visualization tools ( Power BI, Tableau, Looker ) and building datasets optimized for reporting/semantic layers.
• Doctorate (Academic) Degree and 0 years related work experience; Master's Level Degree and related work experience of 3 years; Bachelor's Level Degree and related work experience of 5 years
• We offer a competitive, family friendly total rewards package.
• We design our programs to reflect our commitment to an inclusive environment, while ensuring we provide benefits that meet the diverse needs of our employees.
• KLA is proud to be an equal opportunity employer
• Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees.
• KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment.
• Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA .
• Please ensure that you have searched KLA’s Careers website for legitimate job postings.
• KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers.
• If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to talent.acquisition@kla.com to confirm the person you are communicating with is an employee.
• We take your privacy very seriously and confidentially handle your information.

Preferred qualifications and skills

• Preferred / Nice to Have

Employment details

• Location: Chennai [India]

Application details

• Monitor and manage Snowflake consumption and performance; recommend cost controls (warehouse scheduling, auto-suspend/auto-resume, resource monitors).

About the employer

• KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem.
• KLA focuses more than average on innovation and we invest 15% of sales back into R&D.

Additional role details

• Company Overview
• Virtually every electronic device in the world is produced using our technologies.
• No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us.
• KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays.
• The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development.
• Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices.
• Life here is exciting and our teams thrive on tackling really hard problems.
• There is never a dull moment with us.
• Group/Division
• The Information Technology (IT) group at KLA is involved in every aspect of the global business.
• IT’s mission is to enable business growth and productivity by connecting people, process, and technology.
• It focuses not only on enhancing the technology that enables our business to thrive but also on how employees use and are empowered by technology.
• This integrated approach to customer service, creativity and technological excellence enables employee productivity, business analytics, and process excellence.
• Job Description/Preferred Qualifications
• SAP Data Ingestion & Integration
• Build and maintain incremental loads (CDC) , batch pipelines, and near-real-time ingestion where needed.
• Understand SAP functional domains and data structures (e.g., FI/CO, MM, SD, PP ) to map business requirements to data models.
• Snowflake Data Engineering & Modeling
• Performance, Cost, and Reliability Optimization
• Tune queries and pipelines for performance using clustering strategies, caching awareness, pruning, warehouse sizing, and workload separation.
• Data Governance & Security
• Apply security best practices: RBAC , masking policies, row access policies, and secure data sharing patterns as needed.
• Partner with governance teams to maintain metadata, lineage, glossary alignment, and compliance standards.
• Collaboration & Delivery
• Document pipelines, models, SLAs, and operational runbooks; participate in on-call/production support rotations as required.